Research

Traditionally, imaging/camera design and imaging inference (image processing, computer vision) have been
done independently. However, by jointly designing the imaging optics and inference algorithms, we can significantly
enhance the performance of conventional cameras. This is the philosophy behind the fast evolving field of Computational
Imaging (CI). Examples of CI includes light field cameras, extended-depth-of-field cameras, motion deblurring
cameras and so on. My research focuses on the following themes:

Develop theory to explore the performance limits of CI systems

Develop novel CI systems

Explore the promise of data-driven signal models in CI and computer vision